Explore how enterprises can leverage sensitive datasets for AI training while ensuring data privacy through techniques like Differential Privacy.
An end to end Tutorial using Ori's Virtual Machines, Llama3.1 8B Instruct, and FastAPI for speedy batch inference with TensorRT LLM.
Benchmarking llama 3.1 8B Instruct with vLLM using BeFOri to benchmark time to first token (TTFT), inter-token latency, end to end latency, and...
Agentic AI is the next frontier in AI adoption. Discover more about AI agents in this blog post: what are they, types of agents, benefits, AI agents...
Discover how to use BeFOri to calculate a cost per input and output token for self hosted models and apply this methodology to the DBRX Base model...
Ready to experience the Snowflake-Arctic-instruct model with Hugging Face? In this blog we are going to walk you through environment setup, model...
Access BeFOri for LLama2 and LLama3 Benchmarks on Nvidia V100s and H100 Chips
Generative AI coding is a powerful assistant for software developers. Mergekit offers an easy way to blend pre-trained code LLMs and create your own...
When should you opt for H100 GPUs over A100s for ML training and inference? Here's a top down view when considering cost, performance and use case.
A global GPU shortage and rogue compute costs can threaten to sink even the best AI project’s go-to-market plans. How can AI teams navigate around...
Follow this step-by-step guide to quickly deploy Meta’s Code Llama and other open-source Large Language Models (LLMs), using Python and Hugging Face...